2304
Validation of a Temperature Prediction Workflow for Imaging Complete Deep Brain Stimulation Systems
Alireza Sadeghi-Tarakameh1, Nur Izzati Huda Zulkarnain1, Noam Harel1, and Yigitcan Eryaman1
1Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, United States
We validate a previously proposed temperature prediction workflow for a complete DBS Systems undergoing MRI. The workflow accurately predicted the temperature time progression for different trajectories and terminations (e.g., an extension cable and an implantable pulse generator (IPG))
Figure 1. Workflow and the experimental set-up for predicting RF heating at the contact points of commercial DBS electrodes due to RF exposure in MRI. (a) Phase 1: Offline calibration to determine the Req. Phase 2: Temperature prediction. (b) Position of the temperature probe around the contacts of the DBS electrode. (c) The commercial IPG device used in the experiments. (d) The extension cable with a protective boot.
Figure 4. Comparison between the simulated and measured temperatures corresponding to five different cases. RMSE of less than 0.15°C promises an accurate temperature prediction.